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2. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [ 3 ] And its paid version offers advanced features like OCR, compress, and more.

3. Wikipedia : Featured picture criteria/Image size

   en.wikipedia.org/.../Image_size

   Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

4. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Smallpdf Desktop: Proprietary: Yes Yes Yes Yes Supports merging, splitting, and extracting pages from PDFs. Also rotating, deleting and reordering pages. Converts PDF to Word, Excel, PowerPoint, raster images. Soda PDF: Proprietary: Yes Yes Yes Modular PDF software. Solid Converter PDF: Proprietary: Yes Yes Yes

5. Category : Wikipedia non-free file size reduction requests

   en.wikipedia.org/wiki/Category:Wikipedia_non...

   To add a file to this category, add {{Non-free reduce}} to the file's description page. If you have fulfilled a request, please replace the tag with {{Non-free reduced|~~~~~}}. This tool can help fix these files. And this tool can help you calculate suitable non-free image dimensions. There is no need to resize images by hand.

6. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   These techniques are used to reduce data size for storing, handling, and transmitting content. Higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data. The amount of data reduction possible using lossy ...

7. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.